高清红外及高频雷达技术在建筑外墙渗漏水无损检测中的应用研究

作者：王海龙¹’²’³,王悦¹’²’³ , 王万金¹’²’³，向创¹’²’³

作者简介：

王海龙，副研究员，E-mail: wanghl1983@126.com

作者单位：

1.中国建筑科学研究院有限公司，北京 100013；2.国家建筑工程技术研究中心，北京 100013；3.建研建材有限公司，北京 100013

基金项目：

*国家重点研发计划（2022YFC3801600）

摘要：

分析高清红外扫描技术和高频雷达技术在建筑外墙中进行渗漏水无损检测中的应用原理，并将两技术相结合应用于建筑外墙渗漏无损检测中。利用高清红外技术对建筑外墙进行整体高清扫描，利用高频雷达对渗漏部位进行切片扫描和可视化分析。研究表明，红外技术可用于确定建筑外墙发生渗水部位，高频雷达技术可检测外墙外保温系统黏结状态的同时确定系统内渗漏水的渗流路径和渗流扩散区域。

关键词：红外热成像；高频雷达扫描；渗漏；检测；外墙；外保温系统

English：

This paper analyzes the principles of high-definition infrared scanning technology and high-frequency radar technology for non-destructive testing of leakage in building facades, and applying the combination of the two technologies in non-destructive testing of leakage in building facades. The high-definition infrared technology is used to scan the whole building facade in high-definition, and the high-frequency radar is used to scan and visualize the leakage parts in slices. The study shows that the infrared technology can be used to determine the parts of the building wall where water seepage occurs, and the high-frequency radar technology can detect the bonding status of the exterior insulation system while determining the seepage paths and seepage diffusion areas of the water seepage in the system.

[1]	马福栋,张东波,王卓琳,等.既有建筑外墙外保温系统应用现状与脱落风险研究进展[J].结构工程师,2023,39(4):200-213.MA F D,ZHANG D B,WANG Z L,et al. Progress in the application of exterior insulation system for existing buildings and the risk of falling off[J]. Structural engineers, 2023, 39(4):200-213.
[2]	汪国元.建筑工程外墙保温技术难点及解决措施[J].散装水泥,2023(5):104-106.WANG G Y. Technical difficulties and solution measures of external wall insulation in construction engineering[J]. Bulk cement, 2023(5):104-106.
[3]	王玮,米庆仁,肖云,等.基于可见光和红外图像融合的建筑外墙空鼓与脱落识别方法研究[J].工业建筑,2024,54(5):51-59.WANG W, MI Q R, XIAO Y, et al. Research on the recognition method of building facade cavity drum and peeling based on visible and infrared image fusion[J]. Industrial construction,2024,54(5):51-59.
[4]	王玉洁.用红外成像仪检测建筑外墙空鼓[J].城市勘测,2018(S1):144-148.WANG Y J. Detection of building facade cavity drums with infrared imager[J]. Urban geotechnical investigation & surveying, 2018(S1): 144-148.
[5]	马廷婕. 基于红外成像的水泥混凝土路面脱空定量检测方法研究[D]. 重庆：重庆交通大学, 2019.MA T J. Research on quantitative detection method of cement concrete pavement hollowing based on infrared imaging [D]. Chongqing:Chongqing Jiaotong University, 2019.
[6]	高翔. 混凝土路面脱空红外成像检测及有限元数值模拟研究[D]. 武汉：武汉理工大学, 2005.GAO X. Infrared imaging detection and finite element numerical simulation of concrete pavement hollowing [D]. Wuhan:Wuhan University of Technology, 2005.
[7]	毛南平.基于红外热成像法的隧道渗漏水检测技术[J].山西建筑,2016,42(31):181-183.MAO N P. Tunnel water leakage detection technology based on infrared thermal imaging method[J]. Shanxi architecture, 2016, 42(31): 181-183.
[8]	唐晨浩,郑弢,杨国权.红外热成像检测技术在幕墙门窗渗漏检测中的应用[J].工程质量,2017,35(2):17-19.TANG C H, ZHENG T, YANG G Q. Application of infrared thermal imaging detection technology in leakage detection of curtain wall doors and windows[J]. Construction quality, 2017, 35(2): 17-19.
[9]	王玉磊,汤雷,钱思蓉.基于无人机和红外热成像技术的小型水库坝体早期非稳定渗漏检测系统[J].无损检测,2020,42(12):61-65.WANG Y L, TANG L, QIAN S R. Early unstable leakage detection system for small reservoir dams based on UAV and infrared thermography[J]. Nondestructive testing, 2020, 42(12): 61-65.
[10]	赵亚宇,杨军,卞德存,等.双光热成像技术在大型水池结构渗漏检测中的应用[J].广州建筑,2020,48(1):10-14.ZHAO Y Y, YANG J, BIAN D C,et al.Application of dual-optical thermal imaging technology in leakage detection of large pool structures[J]. Guangzhou architecture, 2020, 48(1): 10-14.
[11]	段浩然,赵鹏,秦磊,等.建筑地下工程漏水的红外热成像检测[J].无损检测,2021,43(8):72-76. DUAN H R, ZHAO P, QIN L,et al. Infrared thermography for water leakage detection in underground construction[J]. Nondestructive testing, 2021, 43(8): 72-76.
[12]	周仁练,苏怀智,刘明凯,等.基于被动红外热成像的土石堤坝渗漏探测试验研究[J].水利学报,2022,53(1):54-67.ZHOU R L, SU H Z,LIU M K,et al.. Experimental study on leakage detection of earth and rock embankment based on passive infrared thermography[J]. Journal of hydraulic engineering, 2022, 53(1): 54-67.
[13]	LEE J S，NGUYEN C，SCULLION T． A novel，compact，lowcost， impulse ground-penetrating radar for nondestructiveevaluation of pavements［J］.IEEE transactions on instrumentation and measurement，2004，53( 6) : 1502-1509．
[14]	GUO X J, WANG M, ZHANG X W,et al. Numerical analysis and automatic identification of GPR responses to highway surface & subgrade diseases[C]//Proceedings of International Conference on Remote Sensing, Environment and Transportation Engineering, 2011.
[15]	张迪,莫其妙.基于GprMax的地下管线探地雷达图像正演模拟[J].工程地球物理学报,2022,19(2):168-182.ZHANG D, MO Q M. Orthorectification simulation of ground-penetrating radar images of underground pipelines based on GprMax[J]. Chinese journal of engineering geophysics, 2022, 19(2): 168-182.
[16]	Hao B , Sinfield J. Simulation analysis for under pavement drainage detection by ground penetrating radar (GPR)[C]// USA: Unconventional Resources Conference, 2014.
[17]	TOSTI F , UMILIACO A. FDTD simulation of the GPR signal for preventing the risk of accidents due to pavement damages[M].International Journal of Interdisciplinary Telecommunications and Networking, 2016,6(1): 1-9 .
[18]	尹光辉. 基于GprMax的道路空洞探地雷达图像正演模拟[D]. 西安：长安大学, 2015.YIN G H. Orthorectified simulation of road cavity ground-penetrating radar images based on GprMax [D]. Xi’an: Chang’an University, 2015.
[19]	李世念,王秀荣,林恬,等.基于GprMax的道路空洞三维探地雷达正演数值模拟[J].中国地质灾害与防治学报,2020,31(3):132-138.LI S N, WANG X R,LIN T,et al. Numerical simulation of three-dimensional ground-penetrating radar orthorectification of road cavities based on GprMax[J]. The Chinese journal of geological hazard and control, 2020, 31(3): 132-138.

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